About the book
An accessible yet rigorous textbook that introduces the fundamentals of linear algebra in the context of real-world data science applications. Suitable for both a first course in linear algebra for data science, or just linear algebra, as well as a second course for advanced undergraduates and first year graduate students.
Editions of Linear Algebra for Data Science
- Paperback
- ISBN 9781009663717
Read an Excerpt
An accessible yet rigorous textbook that introduces the fundamentals of linear algebra in the context of real-world data science applications. Suitable for both a first course in linear algebra for data science, or just linear algebra, as well as a second course for advanced undergraduates and first year graduate students.
Frequently Asked Questions
What is Linear Algebra for Data Science about?
An accessible yet rigorous textbook that introduces the fundamentals of linear algebra in the context of real-world data science applications. Suitable for both a first course in linear algebra for data science, or just linear algebra, as well as a second course for advanced undergraduates and first year graduate students.
What core themes, tropes, or subjects are explored in Linear Algebra for Data Science?
Mathematics and Science > Mathematics > Algebra
Where can I read a sample of Linear Algebra for Data Science?
You can read an official preview of the few pages here https://www.book2look.com/book/9781009663717
Who is/are the Author/s of the book Linear Algebra for Data Science?
Michael Kirby
What are the ISBN numbers for the physical and digital editions?
Linear Algebra for Data Science is available as paperback(ISBN 9781009663717)
Where can I buy Linear Algebra for Data Science online or support local independent bookshops?
You can buy Linear Algebra for Data Science from below
Where can I buy Linear Algebra for Data Science?